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tfa.text.crf_decode
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Decode the highest scoring sequence of tags.
tfa.text.crf_decode(
potentials: tfa.types.TensorLike
,
transition_params: tfa.types.TensorLike
,
sequence_length: tfa.types.TensorLike
) -> tf.Tensor
Args |
potentials
|
A [batch_size, max_seq_len, num_tags] tensor of
unary potentials.
|
transition_params
|
A [num_tags, num_tags] matrix of
binary potentials.
|
sequence_length
|
A [batch_size] vector of true sequence lengths.
|
Returns |
decode_tags
|
A [batch_size, max_seq_len] matrix, with dtype tf.int32 .
Contains the highest scoring tag indices.
|
best_score
|
A [batch_size] vector, containing the score of decode_tags .
|
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Last updated 2023-05-25 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]